Items related to The Elements of Statistical Learning
Synopsis
Introduction.- Overview of supervised learning.- Linear methods for regression.- Linear methods for classification.- Basis expansions and regularization.- Kernel smoothing methods.- Model assessment and selection.- Model inference and averaging.- Additive models, trees, and related methods.- Boosting and additive trees.- Neural networks.- Support vector machines and flexible discriminants.- Prototype methods and nearest-neighbors.- Unsupervised learning.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Seller: PAPER CAVALIER UK, London, United Kingdom
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Condition: good. A good reading copy. May contain markings or be a withdrawn library copy. Seller Inventory # 9780387848846-4
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Seller: Buchmarie, Darmstadt, Germany
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 0387848843-8-1
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